Cyber AI Engineer

Insight Global; United States; On-site; USD 110,208 - 123,984; Full time

Job summary

A technology solutions firm is seeking a Principal Cyber AI Engineer to enhance cybersecurity through AI. The role involves designing advanced threat models and collaborating across teams to integrate AI tools. Ideal candidates will have significant experience in AI cybersecurity and a strong educational background. This position offers a full-time opportunity at a mid-senior level.

Qualifications

• 5+ years of experience in AI focused cybersecurity in an enterprise environment.
• Deep understanding of machine learning and neural networks.
• Hands-on experience with AI security technologies.

Responsibilities

• Design, develop, and optimize AI-Security specific threat models and tools.
• Implement and secure machine learning models for threat detection.
• Integrate AI security tools across cybersecurity architectures.

Skills

AI focused cybersecurity experience

Python

Machine learning

Threat intelligence

Azure

AWS

Security frameworks knowledge

Strong communication skills

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Job description

This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80.00/hr - $90.00/hr

Required Qualifications

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related discipline is required.
• 5+ years of experience in AI focused cybersecurity in an enterprise environment.
• Expertise in Python, R, Java, or similar programming languages.
• Deep understanding of machine learning, neural networks, and application to security systems.
• Hands‑on experience with AI security technologies (intrusion detection, anomaly detection, threat intelligence).
• 3+ years’ experience in Azure or AWS cloud native services, architectures, and tools.
• Expertise in enterprise architectures (including Cloud-native and AI architecture patterns).
• Advanced knowledge of security and governance frameworks (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM).
• Strong communication and collaboration skills.

Preferred Qualifications

• Experience with agentic and model context protocols (MCP) architectures.
• Demonstrated ability to lead cross‑functional technical teams.
• Track record of published research or thought leadership in AI security.

Role Overview

The Principal Cyber AI Engineer will drive the development and optimization of advanced tools, processes, and workflows to predict, detect, and prevent AI specific threats. This hands‑on technical leadership role combines deep research in AI security with close collaboration across teams to integrate AI capabilities into robust cybersecurity architectures.

Key Responsibilities

• Design, develop, and optimize AI‑Security specific threat models, tools, and solutions for threat identification, prediction, and prevention.
• Implement and secure machine learning models, neural networks, and AI techniques to enhance threat detection, monitoring, and risk scoring.
• Integrate AI security tools and technologies across cybersecurity architectures, collaborating with data scientists, security engineers, and other stakeholders.
• Analyze AI security incident data to refine and improve AI models and methodologies.
• Provide technical leadership and mentorship to junior engineers in AI and machine learning.
• Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM), and advanced security architectures (Agentic, MCP).
• Stay abreast of emerging trends and advancements in AI and cybersecurity.

Seniority Level

• Mid‑Senior level

Employment Type

• Full‑time

Job Function

• Telecommunications